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Casagrande, Marco; Conti, Mauro; Fedeli, Monica; Losiouk, Eleonora – Journal of Cybersecurity Education, Research and Practice, 2023
Phishing is a common social engineering attack aimed to steal personal information. Universities attract phishing attacks because: (1) they store employees and students sensitive data; (2) they save confidential documents; and (3) their infrastructures often lack security. In this paper, we showcase a phishing assessment at the University of…
Descriptors: Fraternities, Computer Security, Information Security, Higher Education
Sanfilippo, Madelyn Rose; Apthorpe, Noah; Brehm, Karoline; Shvartzshnaider, Yan – Information and Learning Sciences, 2023
Purpose: This paper aims to address research gaps around third party data flows in education by investigating governance practices in higher education with respect to learning management system (LMS) ecosystems. The authors answer the following research questions: How are LMS and plugins/learning tools interoperability (LTI) governed at higher…
Descriptors: Privacy, Governance, Learning Management Systems, Information Technology
Ashley N. Patterson; Karly Sarita Ford; Leandra Cate – Race, Ethnicity and Education, 2022
Since the time race has been an applied concept in the United States there have been those who identify with two or more racial categories. However, the 2000 Census was the first time individuals could 'officially' identify belonging to more than one racial category. Governmentally regulated racial naming of individuals has long been a contested…
Descriptors: Universities, Web Sites, Multiracial Persons, Racial Identification
Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Paull, Megan; Omari, Maryam; MacCallum, Judith; Young, Susan; Walker, Gabrielle; Holmes, Kirsten; Haski-Leventha, Debbie; Scott, Rowena – Education & Training, 2017
Purpose: The purpose of this paper is to demonstrate the importance of expectation formation and matching for university student volunteers and their hosts. Design/methodology/approach: This research involved a multi-stage data collection process including interviews with student volunteers, and university and host representatives from six…
Descriptors: College Students, Foreign Countries, Interviews, Student Volunteers
Cynthia N. Carvajal; Felecia Russell; Yadira Ortiz – Association for Institutional Research, 2024
Inclusivity in data reports for undocumented students can be difficult to achieve. By nature of those students' status and livelihood, there is contention among academics and practitioners on whether this is a population that should not be formally tracked or identified, for a variety of reasons. Concerns about tracking arise because of the…
Descriptors: Inclusion, Undocumented Immigrants, Critical Theory, Privacy
Komljenovic, Janja – Globalisation, Societies and Education, 2019
Students, academics and university administrators are increasingly using and producing digital platforms, including social media. This paper focuses on LinkedIn to start tackling the question of the effects on higher education as a sector, its actors and the established social practices. It argues that LinkedIn moves beyond the passivity of…
Descriptors: Social Networks, Social Media, Labor Market, Employment Potential
Nolasco, Elaine; Vieira Duraes, Pedro Henrique; Pereira Gonçalves, Júlia; de Oliveira, Maria Cristina; Monteiro de Abreu, Lucijane; Nascimento de Almeida, Alexandre – International Journal of Sustainability in Higher Education, 2021
Purpose: Universities are an example of institutions that aggregate people around work/study who consume water, energy and produce waste daily in their activities, generating an impact on the environment. The purpose of this study is to determine the quantity, composition and recycling potential of waste generated at the Faculdade UnB Planaltina…
Descriptors: Universities, Sanitation, Wastes, Hazardous Materials
Shah, Mahsood; Cheng, Ming; Fitzgerald, Robert – Higher Education: The International Journal of Higher Education Research, 2017
Universities have a long history of collecting student feedback using surveys and other mechanisms. The last decade has witnessed a significant shift in how student feedback is systematically collected, analysed, reported, and used by governments and institutions. This shift is due to a number of factors, including changes in government policy…
Descriptors: Feedback (Response), Student Attitudes, Foreign Countries, Educational Quality
Ma, Kin M.; Hendrick, Andrea; Transue, Judith – Journal of Community Engagement and Higher Education, 2018
After the 2008 housing loan crisis, many houses were foreclosed/abandoned in Michigan, and specifically Grand Rapids (GR). Our study provides a collaborative and scalable model for collecting parcel-level housing data, in a southeast GR neighborhood within 15 U.S. Census Blocks. Grand Valley State University Geography faculty and students…
Descriptors: Housing, Neighborhoods, Data Collection, Neighborhood Improvement
Moore, Colleen; Bracco, Kathy Reeves; Nodine, Thad – Education Insights Center, 2017
California collects expansive sets of data about students in its public K-12 and higher education systems--data that, collectively, have great potential to meet the information needs of state policymakers, local educators, and other stakeholders. But the data are collected and maintained in systems that are not connected, were designed for…
Descriptors: Student Records, Data Collection, Progress Monitoring, College Students
Huang, Li; Lambert, James – Journal of Multilingual and Multicultural Development, 2020
This paper reports on a promising methodology for multilingualism studies that was trialled at the National Institute of Education (NIE) on the campus of Nanyang Technological University (NTU), Singapore, in 2018. The methodology named the Aural-Oral Transect (AOT) is a systematic, easy-to-implement, unbiased way of collecting quantitative data on…
Descriptors: Multilingualism, Oral Language, Speech Communication, Research Methodology
Wang, Shudong; Iwata, Jun; Jarrell, Douglas – JALT CALL Journal, 2018
Since 2010, both universities in which the authors teach have integrated pc-based e-learning or mobile learning programs into several English courses. Students' online performances are evaluated and used in determining the grades for each course. The data accumulated over the years indicates both changing and unchanged e-learning habits among…
Descriptors: Electronic Learning, English (Second Language), Second Language Learning, Second Language Instruction
Becton, Alicia B.; Foster, Amanda L.; Chen, Roy K. – Rehabilitation Research, Policy, and Education, 2016
Being a part of an ethnic minority group and a student with a disability (SWD) often presents as a barrier to college retention and graduation rates among members of this marginalized group. Purpose: To examine educators' awareness of racial and institutional influences that impact African American SWD. Method: Data for this study were gathered…
Descriptors: Postsecondary Education, Cultural Awareness, African American Students, Disabilities
Martin, Jessica L.; Hess, Timothy R.; Ain, Stacie C.; Nelson, Dana L.; Locke, Benjamin D. – Journal of College Counseling, 2012
Many college counseling centers do not collect client data at each session because of perceived burdens. This study explored 55 clients' and 16 doctoral counselor trainees' experiences collecting and using data on client distress at each session over the course of counseling at a large public university's counseling center. Results indicated that…
Descriptors: Counseling Services, Counseling Techniques, Guidance Centers, Counselor Training